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Updated: Apr 16, 2026

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Published on: September 23, 2025
General approach for dealing with dynamical systems with spatiotemporal periodicities
Jesús Casado-Pascual1, José A Cuesta2,3, Niurka R Quintero4,5
1Física Teórica, Universidad de Sevilla, Apartado de Correos 1065, 41080 Sevilla, Spain.
This study introduces a general theory for analyzing systems with periodic forces. Simple symmetries reveal how system properties depend on periodic parameters, simplifying experimental characterization.
Area of Science:
- Physics
- Theoretical Physics
- Quantum Mechanics
Background:
- Dynamical systems frequently exhibit oscillatory forces or rely on periodic potentials.
- System properties often reflect time or space periodicity through dependence on periodic term parameters.
Purpose of the Study:
- To establish a universal theoretical framework for analyzing diverse periodic dynamical systems.
- To demonstrate how symmetry principles dictate functional dependencies on periodic parameters.
- To illustrate the framework's application in characterizing complex quantum systems.
Main Methods:
- Development of a general theoretical framework applicable to various dynamical systems (classical, quantum, stochastic, etc.).
- Utilizing symmetry considerations to derive functional relationships between system properties and periodic parameters.
- Application of the formalism to a Bose-Einstein condensate in a time-modulated sawtooth potential.
Main Results:
- Symmetry principles significantly determine the functional dependence of system properties on periodic parameters.
- The framework successfully predicts the momentum expectation value for a Bose-Einstein condensate under specific potentials.
- A limited number of measurements can elucidate functional forms across broad parameter ranges.
Conclusions:
- The developed theoretical framework offers a powerful and general approach to understanding periodic dynamical systems.
- Symmetry-based analysis simplifies the characterization of complex systems, reducing experimental effort.
- This method is particularly valuable for systems where measurements are experimentally challenging or costly.
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